Command A Plus 05 2026 BF16 vs SOMA X v0.3.0

At a Glance

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Pricing and Limits
Context windowMaximum documented tokens200KNot reported
Model facts checkedAug 28, 2026View model evidence →Sep 2, 2026View model evidence →

Token prices are the lowest available sourced USD rates; input and output may use different providers. Cost ranking estimates output spend on LiveBench, not a full request bill. Ranking methodology →

Different Model RolesThese models do not share a sourced market category. Their primary-source facts remain comparable below, while performance claims require matched evidence.

Available Benchmarks

All benchmark results →
No Protocol-Matched Benchmark Yet.Results appear here only when both models share the same benchmark version, metric, evaluation protocol, and evidence class.

Side-by-Side Facts

Fieldcommand-a-plus-05-2026-bf16SOMA-X v0.3.0
DeveloperCohereNVIDIA
FamilyCommand A Plus 05Soma X
Modelcommand-a-plus-05-2026-bf16SOMA-X v0.3.0
Versioncommand-a-plus-05-2026-bf16SOMA-X v0.3.0
Lifecycleactiveactive
ReleasedUnknown2026-09-02
Knowledge cutoffUnknownUnknown
Input modalitiesText, ImageModel-specific input
Output modalitiesText3D
Context window200KUnknown
Total parameters218.8BUnknown
Active parameters25BUnknown
Licenseapache-2.0apache-2.0
Open weightsYesYes
API availableUnknownNo
Self-hostableYesYes
Provider accessUnknownUnknown
Capabilitieschat, generation, toolsanimation, hand-modeling, human-body-modeling, motion-retargeting, pose-inversion, simulation

Command A Plus 05 2026 BF16 Capabilities

chatgenerationtools
Serving providers0
Canonical IDCohereLabs/command-a-plus-05-2026-bf16

SOMA X v0.3.0 Capabilities

animationhand-modelinghuman-body-modelingmotion-retargetingpose-inversionsimulation
Serving providers0
Canonical IDnvidia/SOMA-X-v0.3.0

Primary Evidence

Sources and Freshness

Questions

Command A Plus 05 2026 BF16 vs SOMA X v0.3.0 FAQs

Is Command A Plus 05 2026 BF16 or SOMA X v0.3.0 better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Command A Plus 05 2026 BF16 and SOMA X v0.3.0, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, Command A Plus 05 2026 BF16 or SOMA X v0.3.0?+

Neither model has a directly sourced input price in this comparison. Neither model has a directly sourced output price in this comparison.

Which has a larger context window, Command A Plus 05 2026 BF16 or SOMA X v0.3.0?+

Neither model has a larger sourced context window in this comparison. Command A Plus 05 2026 BF16 is 200K and SOMA X v0.3.0 is —.

Which performs better in benchmarks, Command A Plus 05 2026 BF16 or SOMA X v0.3.0?+

There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.

Can Command A Plus 05 2026 BF16 or SOMA X v0.3.0 be self-hosted?+

Both models have the same recorded self-hosting status: supported. Command A Plus 05 2026 BF16 is open weight; SOMA X v0.3.0 is open weight.

Can Command A Plus 05 2026 BF16 and SOMA X v0.3.0 understand images?+

Command A Plus 05 2026 BF16 is documented with image input; SOMA X v0.3.0 is not documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, Command A Plus 05 2026 BF16 or SOMA X v0.3.0?+

Neither has a larger sourced maximum output. Command A Plus 05 2026 BF16 is 66K and SOMA X v0.3.0 is —.

Do Command A Plus 05 2026 BF16 and SOMA X v0.3.0 support reasoning and tool use?+

Command A Plus 05 2026 BF16: tool calling and image input. SOMA X v0.3.0: none of these features are definitively sourced. Feature support does not establish relative quality.

Which is available from more inference providers, Command A Plus 05 2026 BF16 or SOMA X v0.3.0?+

Command A Plus 05 2026 BF16 has 0 sourced provider routes; SOMA X v0.3.0 has 0, a tie.

Which offers better value, Command A Plus 05 2026 BF16 or SOMA X v0.3.0?+

There is no universal value winner. Compare the input and output prices above with the matched benchmark result for your workload: cheaper tokens can be offset by different quality, token usage, latency, or provider availability.

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